Projects

We are building an open-source toolbox to help researchers more easily design, evaluate, and monitor artificial intelligence (AI) systems.

Robust, trustworthy, and safe machine learning algorithms that operate in resource-constrained environments will improve missile defense and other target recognition and mission planning systems.

Optical atomic clocks are the most accurate in the world, but they are very large, sensitive instruments. We are transforming the complex components of these clocks into a compact, portable platform.

A deployable navigation network of small, low-cost radio transponders can help track the locations of first responders during rescue operations.

We seek to innovate and accelerate solutions to address AI's carbon footprint and reduce data center energy usage.  

We are collaborating with University of Wisconsin Space Science and Engineering Center to create BiPAL, a new method for identifying and mapping aerosol vertical distributions within the atmosphere.

We are creating proactive, integrated decision-support tools and services that empower vulnerable frontline communities to prepare for climate impacts and minimize losses.  

We are developing deep learning models to detect and predict tornadoes in real time.

We are investigating the use of novel imaging technologies for detecting and quantifying methane emissions in the atmosphere.

We are developing a sensor network to improve our understanding and monitoring of sea ice breakup in the rapidly changing Arctic region.